Details About SAS Careers 2024:
Company Website : www.sas.com
Job Role: Associate Systems Engineer (Early Career)
Qualification: Recent graduate
Batch: Recent Batches
Experience: Fresher
Salary: ₹ 6 to 8 LPA (Expected)
Job Location: Pune
Last Date: ASAP
What we do at SAS Careers:
You’ll be part of the SAS Global Technology Practice, a team that spans the globe, leading the way in technology, establishing best practices, and supporting our clients and sales teams. From cloud solutions to the latest in AI, including Generative AI, our work is at the heart of what makes SAS a leader in analytics.
Your Role at SAS Careers:
This position calls for individuals with a knack for analytical thinking, problem-solving, and open-source software. You’ll manage various projects and collaborate across teams, helping to drive sales and ensure customer success. Your role is pivotal in sharing insights across the company, directly influencing product management and sales strategies.
Great Fit for You If:
- You’re a recent graduate or have up to 5 years of experience and hold a degree in Computer Science, Mathematics, Sciences, or a related field.
- You excel in communication and have a basic understanding of cloud platforms like Azure, AWS, or GCP.
- You’re skilled in programming, particularly Python, and have a portfolio to show for it (GitHub links are great!).
- You’ve dabbled in Generative AI projects and are eager to dive deeper.
What You’ll Do at SAS Careers:
- Dive deep into SAS Viya, open-source, cloud, AI, and analytics through our comprehensive training and resources.
- Create prototypes and demos, demonstrating the power of our technologies alongside SAS Viya in sales scenarios.
- Simplify technical concepts for broader audiences and strategize with sales teams to meet customer needs.
- Deliver impactful presentations and support in business development and marketing initiatives.
Extra Qualities We Love:
- Familiarity with analytics-focused open-source languages (Python, R, Julia).
- Expertise in Machine Learning, Generative AI, Large Language Models, or Natural Language Processing.